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Benchmark of Emerging Structural Reliability Methods

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Authors

Sepúlveda Astudillo, Juan Gonzalo; Faber, Michael Havbro

Issue Date
2019-05-26
Citation
13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019
Abstract
The present contribution provides a benchmark on a selection of emerging methods for assessing structural reliability. The benchmark includes the Polynomial Chaos Expansion, the Subset Simulation, the Probability Density Evolution Method, the Monte Carlo Simulation Extrapolation Technique and the Robust Importance Sampling technique. The benchmark is conducted for a range of different typical categories of structural reliability problems, including time invariant, time variant and dynamic systems. For each of the considered categories of reliability analysis first the applicability of the different reliability analysis methods is assessed and thereafter the efficiency of the applicable methods is assessed and compared. The benchmark includes reliability analyses of several principal structural reliability problems of relevance in practice.
Language
English
URI
https://hdl.handle.net/10371/153535
DOI
https://doi.org/10.22725/ICASP13.439
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